• Serve as the analytics and data science thought partner to Product, Engineering, and GTM leadership—translating business questions into analytical frameworks and actionable insights • Define the vision and roadmap for how CircleCI uses data to make decisions, from product development to customer acquisition to retention • Lead a team where ~80% of the work is ad hoc analysis and deep investigation—answering the hard questions that don't fit neatly into a dashboard • Oversee ML modeling initiatives across product and GTM use cases (propensity models, churn prediction, usage forecasting, recommendations)

• Build Data Products for Population Insights: Design and deliver data products that translate complex data into clear, actionable insights for Care Teams and partnering schools. Focus on population-level insights that support early identification, prioritization, and effective response to student needs. • Develop the Data Platform Across the Care Lifecycle: Build and evolve data infrastructure that supports the full lifecycle—from identifying student needs, to recommending pathways for support, to escalation and follow-up. Partner with engineering to ensure insights are delivered reliably, securely, and at scale. • Validate Impact with Product and Clinical Partners: Work closely with Product and Clinical teams to define success metrics and validate the efficacy of insights, interventions, and workflows. Ensure analytics align with clinical realities, ethical standards, and real-world care delivery. • Drive Scalable, Technology-Enabled Improvement: Lead efforts to apply technology-driven solutions that deepen understanding of each student while supporting a rapidly growing population. Continuously improve how insights are generated, delivered, and acted upon to ensure Beacon scales without sacrificing quality or clarity.

• Continue building data foundation across People domains (performance, departures, workforce planning, payroll, etc.). • Drive data literacy and data-informed mindset among our diverse People stakeholders. • Generate actionable insights - we want cohesive, meaningful analysis rather than standard metrics without purpose. • Create insight-driven dashboards that clearly communicate business progress and are intuitive to use (no design background needed, just effective data visualisation). • Make complex data simple by building data models that make diverse sources accessible and easy to work with. • Strengthen data governance across People Org and improve data quality through best practices implementation. • Partner with analytics engineers to streamline data flow from warehouse to downstream reporting, enabling more effective team collaboration. • Enable stakeholder success by working closely together to tackle immediate business challenges.

• Leading a team of ~25 data scientists and analytics engineers across Marketing Data • Acting as a strategic partner to Marketing, Growth and Finance teams • Driving best in class global marketing measurement strategies including next-gen attribution models and marketing mix modelling • Implementing AI and ML powered marketing solutions for campaign optimisation and customer experience • Translating our ambitious marketing plan and our crazy big goals for the Canva brand into scalable data infrastructure and actionable insights • Collaborating with stakeholders and operational partners to refine reporting formats and rhythms to provide the most value for the lowest lift • Shaping the future of data’s role in marketing through experimentation, storytelling, and strategic influence